gj_case9

求解偏微分方程，使用LF格式求解程序，具体方程见程序(Solution of partial differential equations, using the LF format solver)

非平稳信号的瞬时频率、群延时、信号生成方法(Sub-stationary signal the instantaneous frequency, group delay, Signal Generation)

GNUradio中mimo实现，基于GNURadio3.3.0以及UHD(mimo in GNURadio based on GNURadio 3.3.0 and UHD)

lms自适应波束形成小程序，主要适用于阵列信号处理的学习阶段。(lms beamform)

matlab中的绘图讲解ppt，用于初学者绘图使用，方便(matlab_ drawing)

数值分析是一门比较实用的课程，在数学建模等方面应用广泛，这些代码里面几乎涵盖了全部的数值分析方法。(Numerical analysis is a more practical curriculum, widely used in mathematical modeling, etc., these codes which cover almost all of the numerical analysis method.)

matlab程序 主成分变换代码 以及测试数据(Principal component transformation matlab program code, and test data)

利用VC和Matlab混合编程,基于Matcom，Release文件夹下可直接运行，绘出震荡曲线(Using VC and Matlab to program, based on Matcom, Release folder can be run directly and shock curve can be plotted.)

最新比较流行的模态识别方法，最小二乘复指数法(LeastSquareComplexExponential(LSCE) for modal analysis)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)